# Selenium MCP Server

> Selenium MCP Server — gonzalorando03-selenium-server-mcp. Use this tool when you need to automate browser interactions for testing, data extraction, or automation tasks, and require a comprehensive set of tools to navigate, interact, and verify browser behavior. It provides 66 tools that accept inputs such as URLs, CSS selectors, and HTTP requests, and outputs results like screenshots, cookies, and assertion outcomes. Ideal for use cases like web scraping, automated testing, and browser-based automation, where reliable and efficient browser control is essential.

Canonical page: https://skillsregistry.net/skills/gonzalorando03-selenium-server-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gonzalorando03-selenium-server-mcp

## Description

Provides 66 tools for browser automation using Selenium WebDriver, enabling AI agents to navigate, interact, capture screenshots, assert conditions, manage cookies, handle tabs, execute HTTP requests, record sessions, and more.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ehzayq1f9l)
- **Repository:** <https://github.com/GonzaloRando03/selenium-server-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gonzalorando03-selenium-server-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gonzalorando03-selenium-server-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gonzalorando03-selenium-server-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt